{"id":"W4225854053","doi":"10.1097/sla.0000000000005290","title":"And Miles to Go Before We Sleep: EAST Diversity and Inclusivity Progress and Remaining Challenges.","year":2023,"lang":"en","type":"article","venue":"PubMed","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Demography; Respondent; Institutional review board; Demographics; Ethnic group; Inclusion (mineral); East Asia; Diversity (politics); Family medicine; Social psychology; Psychology; Surgery; Geography; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004278552,0.0002391003,0.0002566898,0.000923639,0.00530556,0.004638355,0.001069658,0.0009040414,0.008941275],"category_scores_gemma":[0.009967342,0.0002844417,0.0003161266,0.001038095,0.003494494,0.007973759,0.0085449,0.002720413,0.001569948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001996136,"about_ca_system_score_gemma":0.007160015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01420426,"about_ca_topic_score_gemma":0.03103938,"domain_scores_codex":[0.997115,0.001148066,0.0001392224,0.0002050302,0.0003891496,0.00100354],"domain_scores_gemma":[0.9914533,0.0007367478,0.001538717,0.0002851775,0.0008377058,0.005148298],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001631567,0.0002720482,0.4121115,0.0005209609,0.00009644309,0.001457792,0.1671987,0.0002018739,0.0007638319,0.01622461,0.10133,0.299659],"study_design_scores_gemma":[0.00001055184,0.0001901564,0.2462526,0.001168085,0.00003332064,0.00117517,0.6095468,0.000213998,0.0003442217,0.005900294,0.1350916,0.00007316779],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.80443,0.0103591,0.0009375415,0.1445686,0.001971904,0.00004239496,0.000420323,0.00007972583,0.03719054],"genre_scores_gemma":[0.9773533,0.005020269,0.0007909482,0.006229545,0.0003010434,0.00003368288,0.0002742053,0.00005061397,0.009946443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9957215,"threshold_uncertainty_score":0.02991152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07405556194242705,"score_gpt":0.2655469496901336,"score_spread":0.1914913877477066,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}